HerbPt1 16S Figures

require(phyloseq)

Loading required package: phyloseq

require(tidyverse)

Loading required package: tidyverse
Registered S3 methods overwritten by 'dbplyr':
  method         from
  print.tbl_lazy     
  print.tbl_sql      
── Attaching packages ──────────────────────────────────────────── tidyverse 1.3.1 ──
✓ ggplot2 3.3.5     ✓ purrr   0.3.4
✓ tibble  3.1.6     ✓ dplyr   1.0.7
✓ tidyr   1.1.4     ✓ stringr 1.4.0
✓ readr   2.1.1     ✓ forcats 0.5.1
── Conflicts ─────────────────────────────────────────────── tidyverse_conflicts() ──
x dplyr::filter() masks stats::filter()
x dplyr::lag()    masks stats::lag()

require(phyloseq)
require(reshape2)

Loading required package: reshape2

Attaching package: ‘reshape2’

The following object is masked from ‘package:tidyr’:

    smiths

require(dplyr)
require(ggplot2)

Load data

ps_dmn <- readRDS("/Users/gordoncuster/Desktop/Git_Projects/Herbicide_Microbes_PT1/data/PhyloseqObjects/16S/DMN_ests_16S.Rdata")
sample_data(ps_dmn)$Herbicide <- factor(sample_data(ps_dmn)$Herbicide, levels = c("Non-Treated", "Hand", "Aatrex", "Clarity", "Roundup Powermax"))
sample_data(ps_dmn)$herb_time<-paste(sample_data(ps_dmn)$Herbicide, sample_data(ps_dmn)$Time, sep = "_")

ps_rare <- readRDS("/Users/gordoncuster/Desktop/Git_Projects/Herbicide_Microbes_PT1/data/PhyloseqObjects/16S/HerbPt1_rare_16S.Rdata")
sample_data(ps_rare)$Herbicide <- factor(sample_data(ps_rare)$Herbicide, levels = c("Non-Treated", "Hand", "Aatrex", "Clarity", "Roundup Powermax"))
sample_data(ps_rare)$herb_time<-paste(sample_data(ps_rare)$Herbicide, sample_data(ps_rare)$Time, sep = "_")

ps_trans <- readRDS("/Users/gordoncuster/Desktop/Git_Projects/Herbicide_Microbes_PT1/data/PhyloseqObjects/16S/HerbPt1_hel_trans_16S.Rdata")
sample_data(ps_trans)$Herbicide <- factor(sample_data(ps_trans)$Herbicide, levels = c("Non-Treated", "Hand", "Aatrex", "Clarity", "Roundup Powermax"))
sample_data(ps_trans)$herb_time<-paste(sample_data(ps_trans)$Herbicide, sample_data(ps_trans)$Time, sep = "_")

create alphadiversity tables

alpha_div <- estimate_richness(physeq = ps_rare, measures = c("Observed", "Shannon", "Chao1"))
#pull out metadata and concatonate with alpha diversity metrics
md<-data.frame(sample_data(ps_rare))
alpha_div_md <- rownames_to_column(alpha_div, "Barcode_ID_G") %>% full_join(md) 

Joining, by = "Barcode_ID_G"

alpha_div_md$Herbicide <- factor(alpha_div_md$Herbicide, levels = c("Non-Treated", "Hand", "Aatrex", "Clarity", "Roundup Powermax"))

Shannon Div plots - no significant differences among herbicide treatments at any of the three time points

ggplot(data = alpha_div_md, aes(Herbicide, Shannon, color= Herbicide)) + facet_grid(. ~ Time) + geom_boxplot() + theme_classic() + theme(axis.text.x = element_text(angle = 45, hjust = 1) )

ggsave("/Users/gordoncuster/Desktop/Git_Projects/Herbicide_Microbes_PT1/Figures/16S_Shannon.pdf")

Saving 7.29 x 4.51 in image

aov_t1<-aov(Chao1 ~ Herbicide, data = alpha_div_md[alpha_div_md$Time == "T1",])
plot(aov_t1$residuals)

summary(aov_t1)

            Df  Sum Sq Mean Sq F value Pr(>F)
Herbicide    4   66537   16634   0.099  0.982
Residuals   51 8553352  167713               

aov_t2<-aov(Chao1 ~ Herbicide, data = alpha_div_md[alpha_div_md$Time == "T2",])
plot(aov_t2$residuals)

summary(aov_t2)

            Df   Sum Sq Mean Sq F value Pr(>F)
Herbicide    4   652901  163225   0.779  0.545
Residuals   49 10272922  209651               

aov_t3<-aov(Chao1 ~ Herbicide, data = alpha_div_md[alpha_div_md$Time == "T3",])
plot(aov_t3$residuals)

summary(aov_t3)

            Df   Sum Sq Mean Sq F value Pr(>F)
Herbicide    4   433435  108359   0.465  0.761
Residuals   50 11641251  232825               

ordinations and adonis testing with three separate objects (i.e., dmn, rarefied, transformed). Rare taxa are removed from rarefied and transfomred to sucessfully ordinate. At this point, the transformed data will not ordinate.

ps_dmn <-  subset_samples(ps_dmn, sample_names(ps_rare) != "G166SG")
ord_dmn<-ordinate(physeq = ps_dmn, method = "NMDS", distance = "bray", k=3, trymax= 300, maxit=1000)

Run 0 stress 0.1117941 
Run 1 stress 0.1117702 
... New best solution
... Procrustes: rmse 0.01264943  max resid 0.1386087 
Run 2 stress 0.1117988 
... Procrustes: rmse 0.01383049  max resid 0.1521684 
Run 3 stress 0.1115928 
... New best solution
... Procrustes: rmse 0.005407466  max resid 0.05351629 
Run 4 stress 0.1117975 
... Procrustes: rmse 0.01206021  max resid 0.1499734 
Run 5 stress 0.1117715 
... Procrustes: rmse 0.005498315  max resid 0.05379259 
Run 6 stress 0.1117982 
... Procrustes: rmse 0.01135487  max resid 0.1419991 
Run 7 stress 0.1134662 
Run 8 stress 0.1117978 
... Procrustes: rmse 0.01119401  max resid 0.1399984 
Run 9 stress 0.1115908 
... New best solution
... Procrustes: rmse 0.0009551569  max resid 0.01089201 
Run 10 stress 0.111764 
... Procrustes: rmse 0.004553192  max resid 0.05537999 
Run 11 stress 0.1156978 
Run 12 stress 0.1117964 
... Procrustes: rmse 0.01129257  max resid 0.1406385 
Run 13 stress 0.1118638 
... Procrustes: rmse 0.008658006  max resid 0.1002895 
Run 14 stress 0.1115922 
... Procrustes: rmse 0.0007028578  max resid 0.008364445 
... Similar to previous best
Run 15 stress 0.1118132 
... Procrustes: rmse 0.01205917  max resid 0.1486165 
Run 16 stress 0.1117966 
... Procrustes: rmse 0.01204971  max resid 0.1482062 
Run 17 stress 0.1115926 
... Procrustes: rmse 0.00108998  max resid 0.01289992 
Run 18 stress 0.1115915 
... Procrustes: rmse 0.0003937832  max resid 0.003347622 
... Similar to previous best
Run 19 stress 0.1117712 
... Procrustes: rmse 0.004955841  max resid 0.05366215 
Run 20 stress 0.1117725 
... Procrustes: rmse 0.005036263  max resid 0.05374786 
*** Solution reached

ps_rare <-  subset_samples(ps_rare, sample_names(ps_rare) != "G166SG")
ps_rare_sub<-prune_taxa(taxa_sums(ps_rare) > 2, ps_rare)
ord_rare<-ordinate(physeq = ps_rare_sub, method = "NMDS", distance = "bray", k=3, trymax= 300, maxit=1000)

Square root transformation
Wisconsin double standardization
Run 0 stress 0.1959743 
Run 1 stress 0.1968291 
Run 2 stress 0.1955931 
... New best solution
... Procrustes: rmse 0.01056312  max resid 0.1044459 
Run 3 stress 0.1967547 
Run 4 stress 0.1972049 
Run 5 stress 0.1958456 
... Procrustes: rmse 0.01310704  max resid 0.105244 
Run 6 stress 0.197217 
Run 7 stress 0.1958464 
... Procrustes: rmse 0.01333549  max resid 0.1053488 
Run 8 stress 0.195647 
... Procrustes: rmse 0.008529108  max resid 0.05273609 
Run 9 stress 0.197232 
Run 10 stress 0.1967532 
Run 11 stress 0.1955157 
... New best solution
... Procrustes: rmse 0.01045652  max resid 0.1185736 
Run 12 stress 0.1956495 
... Procrustes: rmse 0.01539118  max resid 0.1568453 
Run 13 stress 0.1958348 
... Procrustes: rmse 0.009551553  max resid 0.103821 
Run 14 stress 0.1954869 
... New best solution
... Procrustes: rmse 0.005576605  max resid 0.04120699 
Run 15 stress 0.1967807 
Run 16 stress 0.1981755 
Run 17 stress 0.1958461 
... Procrustes: rmse 0.01375154  max resid 0.1052596 
Run 18 stress 0.1967469 
Run 19 stress 0.1958223 
... Procrustes: rmse 0.01169265  max resid 0.1049572 
Run 20 stress 0.1967597 
Run 21 stress 0.1978258 
Run 22 stress 0.1972578 
Run 23 stress 0.1981039 
Run 24 stress 0.1955817 
... Procrustes: rmse 0.007528672  max resid 0.0573944 
Run 25 stress 0.1971554 
Run 26 stress 0.195597 
... Procrustes: rmse 0.01281605  max resid 0.153291 
Run 27 stress 0.1955235 
... Procrustes: rmse 0.003757045  max resid 0.02656963 
Run 28 stress 0.1958198 
... Procrustes: rmse 0.01179304  max resid 0.1049439 
Run 29 stress 0.1955917 
... Procrustes: rmse 0.01221447  max resid 0.1473429 
Run 30 stress 0.1971595 
Run 31 stress 0.1955281 
... Procrustes: rmse 0.003805174  max resid 0.0288691 
Run 32 stress 0.1955862 
... Procrustes: rmse 0.01009172  max resid 0.1178941 
Run 33 stress 0.1956207 
... Procrustes: rmse 0.01250552  max resid 0.1456738 
Run 34 stress 0.1958449 
... Procrustes: rmse 0.01391444  max resid 0.1052505 
Run 35 stress 0.1955391 
... Procrustes: rmse 0.006436072  max resid 0.055978 
Run 36 stress 0.1959765 
... Procrustes: rmse 0.01579339  max resid 0.1107101 
Run 37 stress 0.1955263 
... Procrustes: rmse 0.003977326  max resid 0.02904429 
Run 38 stress 0.1989467 
Run 39 stress 0.1956446 
... Procrustes: rmse 0.01330002  max resid 0.1555153 
Run 40 stress 0.1964398 
Run 41 stress 0.1975836 
Run 42 stress 0.1958345 
... Procrustes: rmse 0.01265843  max resid 0.1050804 
Run 43 stress 0.195845 
... Procrustes: rmse 0.0138669  max resid 0.1049527 
Run 44 stress 0.1971372 
Run 45 stress 0.1967513 
Run 46 stress 0.1973992 
Run 47 stress 0.1955274 
... Procrustes: rmse 0.004037243  max resid 0.02946586 
Run 48 stress 0.197166 
Run 49 stress 0.1956225 
... Procrustes: rmse 0.01215978  max resid 0.1279492 
Run 50 stress 0.197107 
Run 51 stress 0.1958192 
... Procrustes: rmse 0.01207248  max resid 0.1049304 
Run 52 stress 0.1969608 
Run 53 stress 0.1972332 
Run 54 stress 0.1975516 
Run 55 stress 0.1958377 
... Procrustes: rmse 0.01227633  max resid 0.1050591 
Run 56 stress 0.1967508 
Run 57 stress 0.1970071 
Run 58 stress 0.1955082 
... Procrustes: rmse 0.005377965  max resid 0.04228351 
Run 59 stress 0.198783 
Run 60 stress 0.1970173 
Run 61 stress 0.1958199 
... Procrustes: rmse 0.01236506  max resid 0.1050148 
Run 62 stress 0.1955286 
... Procrustes: rmse 0.004158311  max resid 0.02987518 
Run 63 stress 0.195592 
... Procrustes: rmse 0.01222904  max resid 0.147633 
Run 64 stress 0.1956146 
... Procrustes: rmse 0.01074497  max resid 0.1096176 
Run 65 stress 0.195849 
... Procrustes: rmse 0.01404507  max resid 0.104918 
Run 66 stress 0.1972324 
Run 67 stress 0.1967858 
Run 68 stress 0.1955953 
... Procrustes: rmse 0.01231503  max resid 0.1495523 
Run 69 stress 0.1958349 
... Procrustes: rmse 0.01396609  max resid 0.1051858 
Run 70 stress 0.195598 
... Procrustes: rmse 0.01278811  max resid 0.1533052 
Run 71 stress 0.1955815 
... Procrustes: rmse 0.007572595  max resid 0.05761995 
Run 72 stress 0.195848 
... Procrustes: rmse 0.01425588  max resid 0.1051416 
Run 73 stress 0.1974946 
Run 74 stress 0.1959882 
Run 75 stress 0.1959886 
Run 76 stress 0.1955181 
... Procrustes: rmse 0.005650599  max resid 0.04065134 
Run 77 stress 0.1969583 
Run 78 stress 0.1955905 
... Procrustes: rmse 0.01218437  max resid 0.1465672 
Run 79 stress 0.1959891 
Run 80 stress 0.1955282 
... Procrustes: rmse 0.004080866  max resid 0.0296075 
Run 81 stress 0.1967569 
Run 82 stress 0.1958331 
... Procrustes: rmse 0.01382222  max resid 0.1050696 
Run 83 stress 0.1955291 
... Procrustes: rmse 0.004377225  max resid 0.03025514 
Run 84 stress 0.1958298 
... Procrustes: rmse 0.01344255  max resid 0.1050673 
Run 85 stress 0.1967575 
Run 86 stress 0.1973606 
Run 87 stress 0.1956495 
... Procrustes: rmse 0.01343945  max resid 0.1570575 
Run 88 stress 0.1955302 
... Procrustes: rmse 0.004644477  max resid 0.03033471 
Run 89 stress 0.1955184 
... Procrustes: rmse 0.005453357  max resid 0.04118247 
Run 90 stress 0.1955817 
... Procrustes: rmse 0.007519503  max resid 0.05751809 
Run 91 stress 0.1955285 
... Procrustes: rmse 0.003874505  max resid 0.02910066 
Run 92 stress 0.195581 
... Procrustes: rmse 0.006957005  max resid 0.05632332 
Run 93 stress 0.1959882 
Run 94 stress 0.1972362 
Run 95 stress 0.1959743 
... Procrustes: rmse 0.01583667  max resid 0.1103495 
Run 96 stress 0.1956433 
... Procrustes: rmse 0.01290859  max resid 0.1547796 
Run 97 stress 0.1954831 
... New best solution
... Procrustes: rmse 0.0006491044  max resid 0.006595224 
... Similar to previous best
*** Solution reached

full_ord_rare<-ggordiplots::gg_ordiplot(ord = ord_rare, groups = data.frame(sample_data(ps_rare))$Herbicide, choices = c(1, 2), kind = c("se"), conf = 0.95, show.groups = "all", ellipse = TRUE, label = FALSE, hull = FALSE, spiders = FALSE, plot = TRUE, pt.size = 1)

full_ord_rare$plot + theme_classic()

ps_trans_sub<-prune_taxa(taxa_sums(ps_trans) > 0.05, ps_trans)
ord_transformed<-ordinate(physeq = ps_trans_sub, method = "NMDS", distance = "bray", trymax= 300, maxit=1000)

Run 0 stress 0.07436383 
Run 1 stress 0.07209075 
... New best solution
... Procrustes: rmse 0.03318188  max resid 0.2794359 
Run 2 stress 0.07372741 
Run 3 stress 0.0862169 
Run 4 stress 0.07475742 
Run 5 stress 0.07565155 
Run 6 stress 0.07343126 
Run 7 stress 0.07421493 
Run 8 stress 0.07388531 
Run 9 stress 0.07345889 
Run 10 stress 0.07401334 
Run 11 stress 0.07407683 
Run 12 stress 0.07769058 
Run 13 stress 0.07433636 
Run 14 stress 0.074585 
Run 15 stress 0.07381618 
Run 16 stress 0.08232141 
Run 17 stress 0.07344129 
Run 18 stress 0.07224205 
... Procrustes: rmse 0.02943531  max resid 0.2676288 
Run 19 stress 0.07209423 
... Procrustes: rmse 0.001417309  max resid 0.01385068 
Run 20 stress 0.07347586 
Run 21 stress 0.07350162 
Run 22 stress 0.07349752 
Run 23 stress 0.07207368 
... New best solution
... Procrustes: rmse 0.001306014  max resid 0.01675539 
Run 24 stress 0.07411584 
Run 25 stress 0.07475846 
Run 26 stress 0.07653066 
Run 27 stress 0.075361 
Run 28 stress 0.07371955 
Run 29 stress 0.0739085 
Run 30 stress 0.07382304 
Run 31 stress 0.07419165 
Run 32 stress 0.07383872 
Run 33 stress 0.07389584 
Run 34 stress 0.07774558 
Run 35 stress 0.07355738 
Run 36 stress 0.0743307 
Run 37 stress 0.08192486 
Run 38 stress 0.07207266 
... New best solution
... Procrustes: rmse 0.001471961  max resid 0.01623007 
Run 39 stress 0.07343135 
Run 40 stress 0.07603391 
Run 41 stress 0.07310282 
Run 42 stress 0.07356708 
Run 43 stress 0.07397226 
Run 44 stress 0.07630169 
Run 45 stress 0.07314059 
Run 46 stress 0.08175386 
Run 47 stress 0.07652829 
Run 48 stress 0.07390935 
Run 49 stress 0.0736183 
Run 50 stress 0.07407362 
Run 51 stress 0.07361702 
Run 52 stress 0.07565436 
Run 53 stress 0.07290816 
Run 54 stress 0.0730312 
Run 55 stress 0.07356943 
Run 56 stress 0.07397194 
Run 57 stress 0.07372551 
Run 58 stress 0.0738164 
Run 59 stress 0.08221539 
Run 60 stress 0.07436726 
Run 61 stress 0.0830543 
Run 62 stress 0.07436691 
Run 63 stress 0.07388991 
Run 64 stress 0.07212667 
... Procrustes: rmse 0.002325171  max resid 0.02872599 
Run 65 stress 0.0771072 
Run 66 stress 0.07435867 
Run 67 stress 0.07357658 
Run 68 stress 0.07434627 
Run 69 stress 0.07217936 
... Procrustes: rmse 0.02935274  max resid 0.2677708 
Run 70 stress 0.08232396 
Run 71 stress 0.07214712 
... Procrustes: rmse 0.003113113  max resid 0.02849448 
Run 72 stress 0.07441371 
Run 73 stress 0.07207299 
... Procrustes: rmse 8.751481e-05  max resid 0.0009125287 
... Similar to previous best
*** Solution reached

Adonis testing of herbicide treatments by time point

ps_adonis<-function(physeq){
  otu_tab<-data.frame(phyloseq::otu_table(physeq))
  md_tab<-data.frame(phyloseq::sample_data(physeq))
    if(taxa_are_rows(physeq)== T){
       physeq_dist<-parallelDist::parDist(as.matrix(t(otu_tab)), method = "bray")}
            else{physeq_dist<-parallelDist::parDist(as.matrix(otu_tab), method = "bray")}
  print(anova(vegan::betadisper(physeq_dist, md_tab$Herbicide)))
  vegan::adonis(physeq_dist ~ Herbicide * Time, data = md_tab, permutations = 1000)
}

ps_adonis(ps_rare_sub)
#ps_adonis(ps_trans_sub)
ps_adonis(ps_dmn)

Ordination plots DMN

```r
ord_t1_dmn<-ordinate(physeq = subset_samples(ps_dmn, Time==\T1\), method = \NMDS\, distance = \bray\, k=3, trymax= 100)

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Run 0 stress 0.0860376 Run 1 stress 0.08610296 … Procrustes: rmse 0.01566128 max resid 0.1018393 Run 2 stress 0.08610311 … Procrustes: rmse 0.01586452 max resid 0.1024301 Run 3 stress 0.08603735 … New best solution … Procrustes: rmse 8.241581e-05 max resid 0.0004658094 … Similar to previous best Run 4 stress 0.09970083 Run 5 stress 0.08674004 Run 6 stress 0.08610283 … Procrustes: rmse 0.01563882 max resid 0.1017174 Run 7 stress 0.0861032 … Procrustes: rmse 0.01560166 max resid 0.1015965 Run 8 stress 0.08603754 … Procrustes: rmse 6.572323e-05 max resid 0.0004159366 … Similar to previous best Run 9 stress 0.08674015 Run 10 stress 0.0867402 Run 11 stress 0.09743979 Run 12 stress 0.1004086 Run 13 stress 0.08682522 Run 14 stress 0.08603792 … Procrustes: rmse 0.0001422243 max resid 0.0008151577 … Similar to previous best Run 15 stress 0.1024221 Run 16 stress 0.08673983 Run 17 stress 0.08663009 Run 18 stress 0.0866294 Run 19 stress 0.08610326 … Procrustes: rmse 0.01583844 max resid 0.1023147 Run 20 stress 0.1029816 *** Solution reached

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```r
```r
T1_dmn<-ggordiplots::gg_ordiplot(ord = ord_t1_dmn, groups = data.frame(sample_data(subset_samples(ps_dmn, Time == \T1\)))$Herbicide, choices = c(1, 2), kind = c(\se\), conf = 0.95, show.groups = \all\, ellipse = TRUE, label = FALSE, hull = FALSE, spiders = FALSE, plot = TRUE, pt.size = 1)

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<img 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" />

<!-- rnb-plot-end -->

<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuVDFfZG1uJHBsb3QgKyB0aGVtZV9jbGFzc2ljKClcblxuZ2dzYXZlKFxcL1VzZXJzL2dvcmRvbmN1c3Rlci9EZXNrdG9wL0dpdF9Qcm9qZWN0cy9IZXJiaWNpZGVfTWljcm9iZXNfUFQxL0ZpZ3VyZXMvMTZTX29yZGluYXRpb25fZG1uX1QxLnBkZlxcKVxuYGBgXG5gYGAifQ== -->

```r
```r
T1_dmn$plot + theme_classic()

ggsave(\/Users/gordoncuster/Desktop/Git_Projects/Herbicide_Microbes_PT1/Figures/16S_ordination_dmn_T1.pdf\)

<!-- rnb-source-end -->

<!-- rnb-output-begin eyJkYXRhIjoiU2F2aW5nIDcuMjkgeCA0LjUxIGluIGltYWdlXG4ifQ== -->

Saving 7.29 x 4.51 in image

<!-- rnb-output-end -->

<!-- rnb-plot-begin -->

<img 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" />

<!-- rnb-plot-end -->

<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxub3JkX3QyX2Rtbjwtb3JkaW5hdGUocGh5c2VxID0gc3Vic2V0X3NhbXBsZXMocHNfZG1uLCBUaW1lPT1cXFQyXFwpLCBtZXRob2QgPSBcXE5NRFNcXCwgZGlzdGFuY2UgPSBcXGJyYXlcXCwgaz0zLCB0cnltYXg9IDEwMClcbmBgYFxuYGBgIn0= -->

```r
```r
ord_t2_dmn<-ordinate(physeq = subset_samples(ps_dmn, Time==\T2\), method = \NMDS\, distance = \bray\, k=3, trymax= 100)

<!-- rnb-source-end -->

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Run 0 stress 0.1104159 Run 1 stress 0.1095258 … New best solution … Procrustes: rmse 0.03283629 max resid 0.2331035 Run 2 stress 0.1095263 … Procrustes: rmse 0.0003143214 max resid 0.001518754 … Similar to previous best Run 3 stress 0.1108776 Run 4 stress 0.1095274 … Procrustes: rmse 0.000560555 max resid 0.00221759 … Similar to previous best Run 5 stress 0.1228243 Run 6 stress 0.1095267 … Procrustes: rmse 0.0007868342 max resid 0.003066049 … Similar to previous best Run 7 stress 0.1104155 Run 8 stress 0.1095269 … Procrustes: rmse 0.00084312 max resid 0.003915283 … Similar to previous best Run 9 stress 0.1122102 Run 10 stress 0.109527 … Procrustes: rmse 0.0004470249 max resid 0.002034326 … Similar to previous best Run 11 stress 0.1095265 … Procrustes: rmse 0.0004135634 max resid 0.002148228 … Similar to previous best Run 12 stress 0.1095265 … Procrustes: rmse 0.0005038624 max resid 0.002850265 … Similar to previous best Run 13 stress 0.1108801 Run 14 stress 0.1095267 … Procrustes: rmse 0.0007545031 max resid 0.002956755 … Similar to previous best Run 15 stress 0.1122103 Run 16 stress 0.1108793 Run 17 stress 0.1095267 … Procrustes: rmse 0.0003670494 max resid 0.001535058 … Similar to previous best Run 18 stress 0.1095257 … New best solution … Procrustes: rmse 0.0001866661 max resid 0.0008586971 … Similar to previous best Run 19 stress 0.1095264 … Procrustes: rmse 0.0003024235 max resid 0.001511997 … Similar to previous best Run 20 stress 0.1095266 … Procrustes: rmse 0.0005879018 max resid 0.002400575 … Similar to previous best *** Solution reached

<!-- rnb-output-end -->

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```r
```r
T2_dmn<-ggordiplots::gg_ordiplot(ord = ord_t2_dmn, groups = data.frame(sample_data(subset_samples(ps_dmn, Time == \T2\)))$Herbicide, choices = c(1, 2), kind = c(\se\), conf = 0.95, show.groups = \all\, ellipse = TRUE, label = FALSE, hull = FALSE, spiders = FALSE, plot = TRUE, pt.size = 1)

<!-- rnb-source-end -->

<!-- rnb-plot-begin -->

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" />

<!-- rnb-plot-end -->

<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuVDJfZG1uJHBsb3QgKyB0aGVtZV9jbGFzc2ljKClcbmdnc2F2ZShcXC9Vc2Vycy9nb3Jkb25jdXN0ZXIvRGVza3RvcC9HaXRfUHJvamVjdHMvSGVyYmljaWRlX01pY3JvYmVzX1BUMS9GaWd1cmVzLzE2U19vcmRpbmF0aW9uX2Rtbl9UMi5wZGZcXClcbmBgYFxuYGBgIn0= -->

```r
```r
T2_dmn$plot + theme_classic()
ggsave(\/Users/gordoncuster/Desktop/Git_Projects/Herbicide_Microbes_PT1/Figures/16S_ordination_dmn_T2.pdf\)

<!-- rnb-source-end -->

<!-- rnb-output-begin eyJkYXRhIjoiU2F2aW5nIDcuMjkgeCA0LjUxIGluIGltYWdlXG4ifQ== -->

Saving 7.29 x 4.51 in image

<!-- rnb-output-end -->

<!-- rnb-plot-begin -->

<img 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" />

<!-- rnb-plot-end -->

<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxub3JkX3QzX2Rtbjwtb3JkaW5hdGUocGh5c2VxID0gc3Vic2V0X3NhbXBsZXMocHNfZG1uLCBUaW1lPT1cXFQzXFwpLCBtZXRob2QgPSBcXE5NRFNcXCwgZGlzdGFuY2UgPSBcXGJyYXlcXCwgaz0zLCB0cnltYXg9IDEwMClcbmBgYFxuYGBgIn0= -->

```r
```r
ord_t3_dmn<-ordinate(physeq = subset_samples(ps_dmn, Time==\T3\), method = \NMDS\, distance = \bray\, k=3, trymax= 100)

<!-- rnb-source-end -->

<!-- rnb-output-begin 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 -->

Run 0 stress 0.09696447 Run 1 stress 0.09838708 Run 2 stress 0.09696199 … New best solution … Procrustes: rmse 0.04051858 max resid 0.2627789 Run 3 stress 0.0978488 Run 4 stress 0.09692211 … New best solution … Procrustes: rmse 0.005996023 max resid 0.03727873 Run 5 stress 0.09785169 Run 6 stress 0.09696536 … Procrustes: rmse 0.03920684 max resid 0.2612015 Run 7 stress 0.09692302 … Procrustes: rmse 0.0009263799 max resid 0.005616274 … Similar to previous best Run 8 stress 0.09801588 Run 9 stress 0.09692311 … Procrustes: rmse 0.001198129 max resid 0.006221975 … Similar to previous best Run 10 stress 0.09784953 Run 11 stress 0.09710224 … Procrustes: rmse 0.01283189 max resid 0.04545641 Run 12 stress 0.09784917 Run 13 stress 0.0983866 Run 14 stress 0.09701203 … Procrustes: rmse 0.008399643 max resid 0.03934543 Run 15 stress 0.09838593 Run 16 stress 0.09696661 … Procrustes: rmse 0.03914524 max resid 0.2596784 Run 17 stress 0.09982852 Run 18 stress 0.09696174 … Procrustes: rmse 0.005986263 max resid 0.03774518 Run 19 stress 0.09838672 Run 20 stress 0.09784905 *** Solution reached

<!-- rnb-output-end -->

<!-- rnb-source-begin eyJkYXRhIjoiYGBgclxuYGBgclxuVDNfZG1uPC1nZ29yZGlwbG90czo6Z2dfb3JkaXBsb3Qob3JkID0gb3JkX3QzX2RtbiwgZ3JvdXBzID0gZGF0YS5mcmFtZShzYW1wbGVfZGF0YShzdWJzZXRfc2FtcGxlcyhwc19kbW4sIFRpbWUgPT0gXFxUM1xcKSkpJEhlcmJpY2lkZSwgY2hvaWNlcyA9IGMoMSwgMiksIGtpbmQgPSBjKFxcc2VcXCksIGNvbmYgPSAwLjk1LCBzaG93Lmdyb3VwcyA9IFxcYWxsXFwsIGVsbGlwc2UgPSBUUlVFLCBsYWJlbCA9IEZBTFNFLCBodWxsID0gRkFMU0UsIHNwaWRlcnMgPSBGQUxTRSwgcGxvdCA9IFRSVUUsIHB0LnNpemUgPSAxKVxuYGBgXG5gYGAifQ== -->

```r
```r
T3_dmn<-ggordiplots::gg_ordiplot(ord = ord_t3_dmn, groups = data.frame(sample_data(subset_samples(ps_dmn, Time == \T3\)))$Herbicide, choices = c(1, 2), kind = c(\se\), conf = 0.95, show.groups = \all\, ellipse = TRUE, label = FALSE, hull = FALSE, spiders = FALSE, plot = TRUE, pt.size = 1)

<!-- rnb-source-end -->

<!-- rnb-plot-begin -->

<img 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" />

<!-- rnb-plot-end -->

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```r
```r
T3_dmn$plot + theme_classic()
ggsave(\/Users/gordoncuster/Desktop/Git_Projects/Herbicide_Microbes_PT1/Figures/16S_ordination_dmn_T3.pdf\)

<!-- rnb-source-end -->

<!-- rnb-output-begin eyJkYXRhIjoiU2F2aW5nIDcuMjkgeCA0LjUxIGluIGltYWdlXG4ifQ== -->

Saving 7.29 x 4.51 in image

<!-- rnb-output-end -->

<!-- rnb-plot-begin -->

<img 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" />

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Ordination plots rarefied

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```r
ord_t1_rare<-ordinate(physeq = subset_samples(ps_rare, Time=="T1"), method = "NMDS", distance = "bray", k=3, trymax= 100)

Square root transformation
Wisconsin double standardization
Run 0 stress 0.1810491 
Run 1 stress 0.1826921 
Run 2 stress 0.1819144 
Run 3 stress 0.1819351 
Run 4 stress 0.1814148 
... Procrustes: rmse 0.04661014  max resid 0.154252 
Run 5 stress 0.1810713 
... Procrustes: rmse 0.02180761  max resid 0.1193952 
Run 6 stress 0.1809659 
... New best solution
... Procrustes: rmse 0.01900668  max resid 0.1161821 
Run 7 stress 0.1823501 
Run 8 stress 0.1825929 
Run 9 stress 0.1873041 
Run 10 stress 0.182138 
Run 11 stress 0.1818227 
Run 12 stress 0.1812549 
... Procrustes: rmse 0.03484949  max resid 0.1368127 
Run 13 stress 0.1815688 
Run 14 stress 0.1822763 
Run 15 stress 0.1826153 
Run 16 stress 0.180818 
... New best solution
... Procrustes: rmse 0.03391134  max resid 0.1421711 
Run 17 stress 0.1815253 
Run 18 stress 0.1808177 
... New best solution
... Procrustes: rmse 0.0002793211  max resid 0.001215248 
... Similar to previous best
Run 19 stress 0.1821562 
Run 20 stress 0.1886571 
*** Solution reached

T1_rare<-ggordiplots::gg_ordiplot(ord = ord_t1_rare, groups = data.frame(sample_data(subset_samples(ps_rare, Time == "T1")))$Herbicide, choices = c(1, 2), kind = c("se"), conf = 0.95, show.groups = "all", ellipse = TRUE, label = FALSE, hull = FALSE, spiders = FALSE, plot = TRUE, pt.size = 1)

T1_rare$plot + theme_classic()

ggsave("/Users/gordoncuster/Desktop/Git_Projects/Herbicide_Microbes_PT1/Figures/16S_ordination_rare_T1.pdf")

Saving 7.29 x 4.51 in image

ord_t2_rare<-ordinate(physeq = subset_samples(ps_rare, Time=="T2"), method = "NMDS", distance = "bray", k=3, trymax= 100)

Square root transformation
Wisconsin double standardization
Run 0 stress 0.1534021 
Run 1 stress 0.1501862 
... New best solution
... Procrustes: rmse 0.08206124  max resid 0.2687643 
Run 2 stress 0.1496252 
... New best solution
... Procrustes: rmse 0.03259799  max resid 0.1855861 
Run 3 stress 0.1502622 
Run 4 stress 0.1492988 
... New best solution
... Procrustes: rmse 0.04659374  max resid 0.2009237 
Run 5 stress 0.1501129 
Run 6 stress 0.1493037 
... Procrustes: rmse 0.008318129  max resid 0.04804496 
Run 7 stress 0.1548091 
Run 8 stress 0.1521805 
Run 9 stress 0.1564715 
Run 10 stress 0.1514243 
Run 11 stress 0.1541665 
Run 12 stress 0.1496153 
... Procrustes: rmse 0.04591232  max resid 0.2013916 
Run 13 stress 0.1493316 
... Procrustes: rmse 0.0223319  max resid 0.1141781 
Run 14 stress 0.1507732 
Run 15 stress 0.1525071 
Run 16 stress 0.1496172 
... Procrustes: rmse 0.02543573  max resid 0.1279373 
Run 17 stress 0.1493252 
... Procrustes: rmse 0.02103412  max resid 0.1074489 
Run 18 stress 0.1498997 
Run 19 stress 0.1494275 
... Procrustes: rmse 0.01742592  max resid 0.1012165 
Run 20 stress 0.149731 
... Procrustes: rmse 0.05060903  max resid 0.2100844 
Run 21 stress 0.1518967 
Run 22 stress 0.1557205 
Run 23 stress 0.1500572 
Run 24 stress 0.1553534 
Run 25 stress 0.1504331 
Run 26 stress 0.1510844 
Run 27 stress 0.1522814 
Run 28 stress 0.1504031 
Run 29 stress 0.1493133 
... Procrustes: rmse 0.006889226  max resid 0.03856541 
Run 30 stress 0.150171 
Run 31 stress 0.1500486 
Run 32 stress 0.1498154 
Run 33 stress 0.1497915 
... Procrustes: rmse 0.03195095  max resid 0.1690789 
Run 34 stress 0.1493127 
... Procrustes: rmse 0.01087835  max resid 0.06418562 
Run 35 stress 0.1492984 
... New best solution
... Procrustes: rmse 0.003250175  max resid 0.01630647 
Run 36 stress 0.1493549 
... Procrustes: rmse 0.02429255  max resid 0.1308392 
Run 37 stress 0.1501085 
Run 38 stress 0.149338 
... Procrustes: rmse 0.02207843  max resid 0.1165241 
Run 39 stress 0.150263 
Run 40 stress 0.1504127 
Run 41 stress 0.1535175 
Run 42 stress 0.1494289 
... Procrustes: rmse 0.02424889  max resid 0.1374784 
Run 43 stress 0.1496992 
... Procrustes: rmse 0.01948196  max resid 0.08349505 
Run 44 stress 0.1510735 
Run 45 stress 0.1493165 
... Procrustes: rmse 0.01204719  max resid 0.06928624 
Run 46 stress 0.1496282 
... Procrustes: rmse 0.04553661  max resid 0.1906299 
Run 47 stress 0.1501868 
Run 48 stress 0.1538277 
Run 49 stress 0.1496186 
... Procrustes: rmse 0.04524307  max resid 0.189683 
Run 50 stress 0.1503005 
Run 51 stress 0.1535879 
Run 52 stress 0.1493184 
... Procrustes: rmse 0.01369023  max resid 0.07586574 
Run 53 stress 0.15084 
Run 54 stress 0.1560229 
Run 55 stress 0.1492965 
... New best solution
... Procrustes: rmse 0.004689434  max resid 0.02295357 
Run 56 stress 0.1496085 
... Procrustes: rmse 0.04582633  max resid 0.2049956 
Run 57 stress 0.1496462 
... Procrustes: rmse 0.04844522  max resid 0.210868 
Run 58 stress 0.1493032 
... Procrustes: rmse 0.008332413  max resid 0.04838478 
Run 59 stress 0.1539907 
Run 60 stress 0.152138 
Run 61 stress 0.1530451 
Run 62 stress 0.1493371 
... Procrustes: rmse 0.02555399  max resid 0.1324289 
Run 63 stress 0.1531973 
Run 64 stress 0.1554426 
Run 65 stress 0.1500167 
Run 66 stress 0.1494153 
... Procrustes: rmse 0.008628088  max resid 0.03214256 
Run 67 stress 0.1541611 
Run 68 stress 0.1508437 
Run 69 stress 0.1536807 
Run 70 stress 0.153759 
Run 71 stress 0.1519654 
Run 72 stress 0.1493319 
... Procrustes: rmse 0.02471807  max resid 0.1291843 
Run 73 stress 0.1500346 
Run 74 stress 0.1501944 
Run 75 stress 0.1494948 
... Procrustes: rmse 0.01113291  max resid 0.04292363 
Run 76 stress 0.1496345 
... Procrustes: rmse 0.04675055  max resid 0.2118176 
Run 77 stress 0.1496159 
... Procrustes: rmse 0.01498901  max resid 0.06177837 
Run 78 stress 0.15572 
Run 79 stress 0.1508447 
Run 80 stress 0.1496224 
... Procrustes: rmse 0.04746626  max resid 0.2103187 
Run 81 stress 0.1530857 
Run 82 stress 0.1500902 
Run 83 stress 0.1496204 
... Procrustes: rmse 0.04699401  max resid 0.2052503 
Run 84 stress 0.1493085 
... Procrustes: rmse 0.01108283  max resid 0.06282768 
Run 85 stress 0.1494548 
... Procrustes: rmse 0.02704087  max resid 0.1535785 
Run 86 stress 0.1493192 
... Procrustes: rmse 0.003421144  max resid 0.0167768 
Run 87 stress 0.1494823 
... Procrustes: rmse 0.01170036  max resid 0.0515394 
Run 88 stress 0.1517388 
Run 89 stress 0.1498529 
Run 90 stress 0.1525255 
Run 91 stress 0.1504061 
Run 92 stress 0.1493463 
... Procrustes: rmse 0.009202299  max resid 0.0517453 
Run 93 stress 0.1493768 
... Procrustes: rmse 0.02807678  max resid 0.1469337 
Run 94 stress 0.1528568 
Run 95 stress 0.1539557 
Run 96 stress 0.1499517 
Run 97 stress 0.1503246 
Run 98 stress 0.153408 
Run 99 stress 0.1494232 
... Procrustes: rmse 0.01020355  max resid 0.04457089 
Run 100 stress 0.1496299 
... Procrustes: rmse 0.04706376  max resid 0.20518 
*** No convergence -- monoMDS stopping criteria:
    79: no. of iterations >= maxit
    21: stress ratio > sratmax

T2_rare<-ggordiplots::gg_ordiplot(ord = ord_t2_rare, groups = data.frame(sample_data(subset_samples(ps_rare, Time == "T2")))$Herbicide, choices = c(1, 2), kind = c("se"), conf = 0.95, show.groups = "all", ellipse = TRUE, label = FALSE, hull = FALSE, spiders = FALSE, plot = TRUE, pt.size = 1)

T2_rare$plot + theme_classic()
ggsave("/Users/gordoncuster/Desktop/Git_Projects/Herbicide_Microbes_PT1/Figures/16S_ordination_rare_T2.pdf")

Saving 7.29 x 4.51 in image

#G166SG identified as outlier based on plots with it included. Removed to create plot. 
ps_rare <-  subset_samples(ps_rare, sample_names(ps_rare) != "G166SG")
ord_t3_rare<-ordinate(physeq = subset_samples(ps_rare, Time=="T3"), method = "NMDS", distance = "bray", k=3, trymax= 100)

Square root transformation
Wisconsin double standardization
Run 0 stress 0.1676017 
Run 1 stress 0.1674417 
... New best solution
... Procrustes: rmse 0.04124931  max resid 0.2361074 
Run 2 stress 0.1674411 
... New best solution
... Procrustes: rmse 0.001231221  max resid 0.005922203 
... Similar to previous best
Run 3 stress 0.1674417 
... Procrustes: rmse 0.0005450873  max resid 0.002366684 
... Similar to previous best
Run 4 stress 0.174253 
Run 5 stress 0.1676071 
... Procrustes: rmse 0.0417665  max resid 0.2360185 
Run 6 stress 0.1676016 
... Procrustes: rmse 0.04167326  max resid 0.2362216 
Run 7 stress 0.1677232 
... Procrustes: rmse 0.04099517  max resid 0.2378909 
Run 8 stress 0.1674463 
... Procrustes: rmse 0.001648047  max resid 0.009096781 
... Similar to previous best
Run 9 stress 0.1676022 
... Procrustes: rmse 0.04174125  max resid 0.2362243 
Run 10 stress 0.1678072 
... Procrustes: rmse 0.04297594  max resid 0.2393159 
Run 11 stress 0.1674412 
... Procrustes: rmse 0.001080535  max resid 0.005485491 
... Similar to previous best
Run 12 stress 0.1674408 
... New best solution
... Procrustes: rmse 0.0002520193  max resid 0.0008240904 
... Similar to previous best
Run 13 stress 0.1676339 
... Procrustes: rmse 0.04193129  max resid 0.2354827 
Run 14 stress 0.167678 
... Procrustes: rmse 0.03940957  max resid 0.2344959 
Run 15 stress 0.1674418 
... Procrustes: rmse 0.001149194  max resid 0.005342061 
... Similar to previous best
Run 16 stress 0.1690062 
Run 17 stress 0.1718475 
Run 18 stress 0.1674414 
... Procrustes: rmse 0.0004521011  max resid 0.001764718 
... Similar to previous best
Run 19 stress 0.1676771 
... Procrustes: rmse 0.03945511  max resid 0.2346342 
Run 20 stress 0.1719948 
*** Solution reached

T3_rare<-ggordiplots::gg_ordiplot(ord = ord_t3_rare, groups = data.frame(sample_data(subset_samples(ps_rare, Time == "T3")))$Herbicide, choices = c(1, 2), kind = c("se"), conf = 0.95, show.groups = "all", ellipse = TRUE, label = FALSE, hull = FALSE, spiders = FALSE, plot = TRUE, pt.size = 1)

T3_rare$plot + theme_classic()
ggsave("/Users/gordoncuster/Desktop/Git_Projects/Herbicide_Microbes_PT1/Figures/16S_ordination_rare_T3.pdf")

Saving 7.29 x 4.51 in image

Pairwise adonis testing

ps_pairwiseadonis<-function(physeq){
  otu_tab<-data.frame(phyloseq::otu_table(physeq))
  md_tab<-data.frame(phyloseq::sample_data(physeq))
    if(taxa_are_rows(physeq)== T){
       physeq_dist<-parallelDist::parDist(as.matrix(t(otu_tab)), method = "bray")}
            else{physeq_dist<-parallelDist::parDist(as.matrix(otu_tab), method = "bray")}
pairwiseAdonis::pairwise.adonis(x = physeq_dist, factors = md_tab$Herbicide, p.adjust.m = "none", perm = 1000)
}

ps_t1<-subset_samples(ps_rare_sub, Time == "T1")
ps_t1<-prune_taxa(taxa_sums(ps_t1) > 2, ps_t1)

ps_t2<-subset_samples(ps_rare_sub, Time == "T2")
ps_t2<-prune_taxa(taxa_sums(ps_t2) > 2, ps_t2)

ps_t3<-subset_samples(ps_rare_sub, Time == "T3")
ps_t3<-prune_taxa(taxa_sums(ps_t3) > 2, ps_t3)


ps_pairwiseadonis(ps_t1)

ps_pairwiseadonis(ps_t2)

ps_pairwiseadonis(ps_t3)

box and whisker plots of distance within group distances

library(micrUBIfuns)
T1_beta<-beta_boxplot(physeq = subset_samples(ps_rare, Time=="T1"), method = "bray", group = "Herbicide")
ggsave("/Users/gordoncuster/Desktop/Git_Projects/Herbicide_Microbes_PT1/Figures/16S_T1_rare_withingroup_beta.pdf")

Saving 7 x 7 in image

T1_beta_df<- T1_beta$data
T1_betamod<-aov(formula = beta_div_value ~ group ,data = T1_beta_df)
summary(T1_betamod)

             Df  Sum Sq  Mean Sq F value   Pr(>F)    
group         4 0.02391 0.005978     5.4 0.000334 ***
Residuals   282 0.31223 0.001107                     
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

TukeyHSD(x = T1_betamod, which = "group")

  Tukey multiple comparisons of means
    95% family-wise confidence level

Fit: aov(formula = beta_div_value ~ group, data = T1_beta_df)

$group
                                     diff          lwr          upr     p adj
Clarity-Aatrex               -0.001507071 -0.018186144  0.015172002 0.9991606
Hand-Aatrex                  -0.023576431 -0.041939486 -0.005213376 0.0044684
Non-Treated-Aatrex           -0.013193939 -0.029873012  0.003485134 0.1934686
Roundup Powermax-Aatrex       0.001896970 -0.015523754  0.019317693 0.9982525
Hand-Clarity                 -0.022069360 -0.039730381 -0.004408340 0.0061800
Non-Treated-Clarity          -0.011686869 -0.027589741  0.004216003 0.2601887
Roundup Powermax-Clarity      0.003404040 -0.013275033  0.020083113 0.9805780
Non-Treated-Hand              0.010382492 -0.007278529  0.028043512 0.4896459
Roundup Powermax-Hand         0.025473401  0.007110346  0.043836456 0.0015994
Roundup Powermax-Non-Treated  0.015090909 -0.001588164  0.031769982 0.0971493

T2_beta<-beta_boxplot(physeq = subset_samples(ps_rare, Time=="T2"), method = "bray", group = "Herbicide")
ggsave("/Users/gordoncuster/Desktop/Git_Projects/Herbicide_Microbes_PT1/Figures/16S_T2_rare_withingroup_beta.pdf")

Saving 7 x 7 in image

T2_beta_df<- T2_beta$data
T2_betamod<-aov(formula = beta_div_value ~ group ,data = T2_beta_df)
summary(T2_betamod)

             Df Sum Sq  Mean Sq F value   Pr(>F)    
group         4 0.0328 0.008212   5.471 0.000303 ***
Residuals   260 0.3902 0.001501                     
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

TukeyHSD(x = T2_betamod, which = "group")

  Tukey multiple comparisons of means
    95% family-wise confidence level

Fit: aov(formula = beta_div_value ~ group, data = T2_beta_df)

$group
                                     diff         lwr          upr     p adj
Clarity-Aatrex                0.004587879 -0.01570583  0.024881585 0.9716343
Hand-Aatrex                   0.007709091 -0.01258462  0.028002797 0.8348219
Non-Treated-Aatrex           -0.022036364 -0.04233007 -0.001742657 0.0257655
Roundup Powermax-Aatrex      -0.011421549 -0.03281299  0.009969896 0.5850476
Hand-Clarity                  0.003121212 -0.01717249  0.023414919 0.9933115
Non-Treated-Clarity          -0.026624242 -0.04691795 -0.006330536 0.0034255
Roundup Powermax-Clarity     -0.016009428 -0.03740087  0.005382017 0.2426725
Non-Treated-Hand             -0.029745455 -0.05003916 -0.009451748 0.0007049
Roundup Powermax-Hand        -0.019130640 -0.04052208  0.002260805 0.1039333
Roundup Powermax-Non-Treated  0.010614815 -0.01077663  0.032006260 0.6518171

T3_beta<-beta_boxplot(physeq = subset_samples(ps_rare, Time=="T3"), method = "bray", group = "Herbicide")
ggsave("/Users/gordoncuster/Desktop/Git_Projects/Herbicide_Microbes_PT1/Figures/16S_T3_rare_withingroup_beta.pdf")

Saving 7 x 7 in image

T3_beta_df<- T3_beta$data
T3_betamod<-aov(formula = beta_div_value ~ group ,data = T3_beta_df)
summary(T3_betamod)

             Df Sum Sq  Mean Sq F value   Pr(>F)    
group         4 0.0477 0.011924   10.39 7.93e-08 ***
Residuals   261 0.2994 0.001147                     
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

TukeyHSD(x = T3_betamod, which = "group")

  Tukey multiple comparisons of means
    95% family-wise confidence level

Fit: aov(formula = beta_div_value ~ group, data = T3_beta_df)

$group
                                      diff          lwr          upr     p adj
Clarity-Aatrex                0.0183969697  0.001410694  0.035383246 0.0263568
Hand-Aatrex                   0.0276454545  0.010659179  0.044631731 0.0001130
Non-Treated-Aatrex            0.0315000000  0.013513690  0.049486310 0.0000250
Roundup Powermax-Aatrex      -0.0007666667 -0.018752976  0.017219643 0.9999574
Hand-Clarity                  0.0092484848 -0.008493102  0.026990072 0.6075977
Non-Treated-Clarity           0.0131030303 -0.005598244  0.031804305 0.3068486
Roundup Powermax-Clarity     -0.0191636364 -0.037864911 -0.000462362 0.0415656
Non-Treated-Hand              0.0038545455 -0.014846729  0.022555820 0.9798083
Roundup Powermax-Hand        -0.0284121212 -0.047113396 -0.009710847 0.0003917
Roundup Powermax-Non-Treated -0.0322666667 -0.051880729 -0.012652605 0.0000917

library(ggpubr)
ggarrange(T1_beta$plot, T2_beta$plot, T3_beta$plot, ncol = 1)
ggsave("/Users/gordoncuster/Desktop/Git_Projects/Herbicide_Microbes_PT1/Figures/16S_combined_rare_within_group_beta.pdf", width = 7, height = 10)

Examination of dissimliarity across time points by treatment and then again by all chemical treatments combined.

treatment to control

plotDistances = function(p, m, s, d) {

  # calc distances
  wu = phyloseq::distance(p, m)
  wu.m = melt(as.matrix(wu))
  
  # remove self-comparisons
  wu.m = wu.m %>%
    filter(as.character(Var1) != as.character(Var2)) %>%
    mutate_if(is.factor,as.character)
  
  # get sample data (S4 error OK and expected)
  sd = data.frame(sample_data(p)) %>%
    select(s, d) %>%
    mutate_if(is.factor,as.character)
  sd$Herbicide <- factor(sd$Herbicide, levels = c("Non-Treated", "Hand", "Aatrex", "Clarity", "Roundup Powermax"))
  
  # combined distances with sample data
  colnames(sd) = c("Var1", "Type1")
  wu.sd = left_join(wu.m, sd, by = "Var1")
  
  colnames(sd) = c("Var2", "Type2")
  wu.sd = left_join(wu.sd, sd, by = "Var2")
  
  #remove this line to plot all comparisons. 
  #wu.sd = wu.sd %>% filter(Type1 == "Hand" | Type1 == "Non-Treated")
  
  # plot
  ggplot(wu.sd, aes(x = Type2, y = value)) +
    theme_bw() +
    geom_point() +
    geom_boxplot(aes(color = ifelse(Type1 == Type2, "red", "black"))) +
    scale_color_identity() +
    facet_wrap(~ Type1, scales = "free_x") +
    theme(axis.text.x=element_text(angle = 45, hjust = 1, size = 5)) + 
    ggtitle(paste0("Distance Metric = ", m))
  
}

a<-plotDistances(p = subset_samples(physeq= ps_rare, Time=="T1"), m = "bray", s = "Barcode_ID_G", d = "Herbicide")
a <- a + ggtitle("Time 1 Bray-Curtis Dissimlarities")
#ggsave("/Users/gordoncuster/Desktop/Git_Projects/Herbicide_Microbes_PT1/Figures/16S_T1_rare_allgroup_beta.pdf")
ggsave("/Users/gordoncuster/Desktop/Git_Projects/Herbicide_Microbes_PT1/Figures/16S_T1_rare_allgroup_beta_multicomparison.pdf")
b<-plotDistances(p = subset_samples(physeq= ps_rare, Time=="T2"), m = "bray", s = "Barcode_ID_G", d = "Herbicide")
b <-b + ggtitle("Time 2 Bray-Curtis Dissimlarities")
#ggsave("/Users/gordoncuster/Desktop/Git_Projects/Herbicide_Microbes_PT1/Figures/16S_T2_rare_allgroup_beta.pdf")
ggsave("/Users/gordoncuster/Desktop/Git_Projects/Herbicide_Microbes_PT1/Figures/16S_T2_rare_allgroup_beta_multicomparison.pdf")
c<-plotDistances(p = subset_samples(physeq= ps_rare, Time=="T3"), m = "bray", s = "Barcode_ID_G", d = "Herbicide")
c<- c + ggtitle("Time 3 Bray-Curtis Dissimlarities")
#ggsave("/Users/gordoncuster/Desktop/Git_Projects/Herbicide_Microbes_PT1/Figures/16S_T3_rare_allgroup_beta.pdf")
ggsave("/Users/gordoncuster/Desktop/Git_Projects/Herbicide_Microbes_PT1/Figures/16S_T3_rare_allgroup_beta_multicomparison.pdf")

library(ggpubr)
ggarrange(a, b, c, ncol = 1)
ggsave("/Users/gordoncuster/Desktop/Git_Projects/Herbicide_Microbes_PT1/Figures/16S_combined_rare_allgroup_beta_multi_comparison.pdf", width = 7, height = 10)

Taxon abundance bar plot

#create super long color vector
col_vector <- c("#000000", "#FFFF00", "#1CE6FF", "#FF34FF", "#FF4A46", "#008941", "#006FA6", "#A30059",
        "#FFDBE5", "#7A4900", "#0000A6", "#63FFAC", "#B79762", "#004D43", "#8FB0FF", "#997D87",
        "#5A0007", "#809693", "#FEFFE6", "#1B4400", "#4FC601", "#3B5DFF", "#4A3B53", "#FF2F80",
        "#61615A", "#BA0900", "#6B7900", "#00C2A0", "#FFAA92", "#FF90C9", "#B903AA", "#D16100",
        "#DDEFFF", "#000035", "#7B4F4B", "#A1C299", "#300018", "#0AA6D8", "#013349", "#00846F",
        "#372101", "#FFB500", "#C2FFED", "#A079BF", "#CC0744", "#C0B9B2", "#C2FF99", "#001E09",
        "#00489C", "#6F0062", "#0CBD66", "#EEC3FF", "#456D75", "#B77B68", "#7A87A1", "#788D66",
        "#885578", "#FAD09F", "#FF8A9A", "#D157A0", "#BEC459", "#456648", "#0086ED", "#886F4C",
        
        "#34362D", "#B4A8BD", "#00A6AA", "#452C2C", "#636375", "#A3C8C9", "#FF913F", "#938A81",
        "#575329", "#00FECF", "#B05B6F", "#8CD0FF", "#3B9700", "#04F757", "#C8A1A1", "#1E6E00",
        "#7900D7", "#A77500", "#6367A9", "#A05837", "#6B002C", "#772600", "#D790FF", "#9B9700",
        "#549E79", "#FFF69F", "#201625", "#72418F", "#BC23FF", "#99ADC0", "#3A2465", "#922329",
        "#5B4534", "#FDE8DC", "#404E55", "#0089A3", "#CB7E98", "#A4E804", "#324E72", "#6A3A4C",
        "#83AB58", "#001C1E", "#D1F7CE", "#004B28", "#C8D0F6", "#A3A489", "#806C66", "#222800",
        "#BF5650", "#E83000", "#66796D", "#DA007C", "#FF1A59", "#8ADBB4", "#1E0200", "#5B4E51",
        "#C895C5", "#320033", "#FF6832", "#66E1D3", "#CFCDAC", "#D0AC94", "#7ED379", "#012C58",
        
        "#7A7BFF", "#D68E01", "#353339", "#78AFA1", "#FEB2C6", "#75797C", "#837393", "#943A4D",
        "#B5F4FF", "#D2DCD5", "#9556BD", "#6A714A", "#001325", "#02525F", "#0AA3F7", "#E98176",
        "#DBD5DD", "#5EBCD1", "#3D4F44", "#7E6405", "#02684E", "#962B75", "#8D8546", "#9695C5",
        "#E773CE", "#D86A78", "#3E89BE", "#CA834E", "#518A87", "#5B113C", "#55813B", "#E704C4",
        "#00005F", "#A97399", "#4B8160", "#59738A", "#FF5DA7", "#F7C9BF", "#643127", "#513A01",
        "#6B94AA", "#51A058", "#A45B02", "#1D1702", "#E20027", "#E7AB63", "#4C6001", "#9C6966",
        "#64547B", "#97979E", "#006A66", "#391406", "#F4D749", "#0045D2", "#006C31", "#DDB6D0",
        "#7C6571", "#9FB2A4", "#00D891", "#15A08A", "#BC65E9", "#FFFFFE", "#C6DC99", "#203B3C",

        "#671190", "#6B3A64", "#F5E1FF", "#FFA0F2", "#CCAA35", "#374527", "#8BB400", "#797868",
        "#C6005A", "#3B000A", "#C86240", "#29607C", "#402334", "#7D5A44", "#CCB87C", "#B88183",
        "#AA5199", "#B5D6C3", "#A38469", "#9F94F0", "#A74571", "#B894A6", "#71BB8C", "#00B433",
        "#789EC9", "#6D80BA", "#953F00", "#5EFF03", "#E4FFFC", "#1BE177", "#BCB1E5", "#76912F",
        "#003109", "#0060CD", "#D20096", "#895563", "#29201D", "#5B3213", "#A76F42", "#89412E",
        "#1A3A2A", "#494B5A", "#A88C85", "#F4ABAA", "#A3F3AB", "#00C6C8", "#EA8B66", "#958A9F",
        "#BDC9D2", "#9FA064", "#BE4700", "#658188", "#83A485", "#453C23", "#47675D", "#3A3F00",
        "#061203", "#DFFB71", "#868E7E", "#98D058", "#6C8F7D", "#D7BFC2", "#3C3E6E", "#D83D66",

        "#2F5D9B", "#6C5E46", "#D25B88", "#5B656C", "#00B57F", "#545C46", "#866097", "#365D25",
        "#252F99", "#00CCFF", "#674E60", "#FC009C", "#92896B")

phylumGlommed <- tax_glom(ps_rare, "Phylum")

#t1
phylumGlommed_herb_t1 <- merge_samples(subset_samples(physeq= phylumGlommed, Time=="T1"), group = "Herbicide")
phylumGlommed_herb_t1 <- transform_sample_counts(phylumGlommed_herb_t1, function(OTU) OTU/sum(OTU))
sample_data(phylumGlommed_herb_t1)$Herbicide <- factor(sample_data(phylumGlommed_herb_t1)$Herbicide, levels = c(1, 2, 3, 4, 5), 
       labels = c("Non-Treated", "Hand", "Aatrex", "Clarity", "Roundup Powermax"))

plot_bar(phylumGlommed_herb_t1, x = "Herbicide", fill = "Phylum")  + theme_classic() + ggtitle("Proportional Taxon Abundances Time 1") +
theme(legend.position="bottom") + guides(fill=guide_legend(nrow=6)) + geom_bar(stat="identity") + theme(axis.text.x=element_text(angle = 45, hjust = 1, size = 5)) + 
scale_fill_manual(values = col_vector)
ggsave("/Users/gordoncuster/Desktop/Git_Projects/Herbicide_Microbes_PT1/Figures/16S_Taxon_barplot_t1.pdf")

#t2
phylumGlommed_herb_t2 <- merge_samples(subset_samples(physeq= phylumGlommed, Time=="T2"), group = "Herbicide")
phylumGlommed_herb_t2 <- transform_sample_counts(phylumGlommed_herb_t2, function(OTU) OTU/sum(OTU))
sample_data(phylumGlommed_herb_t2)$Herbicide <- factor(sample_data(phylumGlommed_herb_t2)$Herbicide, levels = c(1, 2, 3, 4, 5), 
       labels = c("Non-Treated", "Hand", "Aatrex", "Clarity", "Roundup Powermax"))

plot_bar(phylumGlommed_herb_t2, x = "Herbicide", fill = "Phylum")  + theme_classic() + ggtitle("Proportional Taxon Abundances Time 1") +
theme(legend.position="bottom") + guides(fill=guide_legend(nrow=6)) + geom_bar(stat="identity") + theme(axis.text.x=element_text(angle = 45, hjust = 1, size = 5)) + 
scale_fill_manual(values = col_vector)
ggsave("/Users/gordoncuster/Desktop/Git_Projects/Herbicide_Microbes_Pt1/Figures/16S_Taxon_barplot_t2.pdf")

#t3
phylumGlommed_herb_t3 <- merge_samples(subset_samples(physeq= phylumGlommed, Time=="T3"), group = "Herbicide")
phylumGlommed_herb_t3 <- transform_sample_counts(phylumGlommed_herb_t3, function(OTU) OTU/sum(OTU))
sample_data(phylumGlommed_herb_t3)$Herbicide <- factor(sample_data(phylumGlommed_herb_t3)$Herbicide, levels = c(1, 2, 3, 4, 5), 
       labels = c("Non-Treated", "Hand", "Aatrex", "Clarity", "Roundup Powermax"))

plot_bar(phylumGlommed_herb_t3, x = "Herbicide", fill = "Phylum")  + theme_classic() + ggtitle("Proportional Taxon Abundances Time 1") +
theme(legend.position="bottom") + guides(fill=guide_legend(nrow=6)) + geom_bar(stat="identity") + theme(axis.text.x=element_text(angle = 45, hjust = 1, size = 5)) + 
scale_fill_manual(values = col_vector)
ggsave("/Users/gordoncuster/Desktop/Git_Projects/Herbicide_Microbes_Pt1/Figures/16S_Taxon_barplot_t3.pdf")

Combined herbicide and time bar plot for exploration

sample_data(ps_rare)$herb_time<-paste(sample_data(ps_rare)$Herbicide, sample_data(ps_rare)$Time, sep = "_")
ps_rare_for_barplot <- prune_taxa(taxa_sums(ps_rare) > 50, ps_rare)
plot_bar(ps_rare_for_barplot, x= "herb_time", fill = "Family") + scale_fill_manual(values = col_vector) + geom_bar(stat="identity")
ggsave("/Users/gordoncuster/Desktop/Git_Projects/Herbicide_Microbes_PT1/Figures/16S_BarPlot_Herbicide_Time.pdf", width = 20, height = 11)

Linear modeling of abundant taxa

mod_abund(test, IV = "Time")

[1] "Clarity"          "f.Micrococcaceae"
[1] "Clarity"             "f.Sphingomonadaceae"

[1] "Clarity"                 "f..Chthoniobacteraceae."

[1] "Clarity"             "f.Planctomycetaceae"

[1] "Clarity"     "f.Ellin6075"

[1] "Clarity"             "f.Hyphomicrobiaceae"

[1] "Clarity"               "f.Geodermatophilaceae"

[1] "Hand"          "f.Gemmataceae"

[1] "Hand"                "f.Planctomycetaceae"

[1] "Hand"        "f.Ellin6075"

[1] "Hand"               "f.Xanthomonadaceae"

[1] "Hand"          "f.Gaiellaceae"

[1] "Hand"            "f.Cytophagaceae"

[1] "Hand"                "f.Microbacteriaceae"

[1] "Non-Treated"       "f.Sinobacteraceae"

[1] "Non-Treated" "f.A4b"      

[1] "Aatrex" "f.RB40"

[1] "Aatrex"              "f.Sphingomonadaceae"

[1] "Aatrex"             "f.Chitinophagaceae"

[1] "Aatrex"          "f.Cytophagaceae"

[1] "Aatrex"              "f.Rhodospirillaceae"

[1] "Roundup Powermax"    "f.Sphingomonadaceae"